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The paper proposes the microscopic travel demand model continuous target-based activity planning (C-TAP) that generates multi-week schedules by means of a continuous planning approach with an open planning horizon. C-TAP introduces behavioral targets to describe people’s motivation to perform activities, and it uses a planning heuristic to make on-the-fly decisions about upcoming activities. The planning heuristic bases its decisions on three aspects: a discomfort index derived from deviations from agents’ past performance with regard to their behavioral targets; the effectiveness of the immediate execution; and activity execution options available in the near future. The paper reports the results of a test scenario based on an existing 6-week continuous travel diary and validates C-TAP by comparing simulation results with observed behavioral patterns along several dimensions (weekday similarities, weekday execution probabilities of activities, transition probabilities between activities, duration distributions of activities, frequency distributions of activities, execution interval distributions of activities and weekly travel probability distributions). The results show that C-TAP has the capability to reproduce observed behavior and the flexibility to introduces new behavioral patterns.

Many megacities in the world, especially Bangkok, are facing severe congestion in road traffic and public transport, particularly during peak hours. This situation (a) worsens the quality of life, (b) releases emissions causing air pollution and climate change, and (c) subsequently creates requests for massive investment in transport infrastructure, which easily exceed the budget’s limit. Instead of solving the problem by supply-side strategies, applying ICT-based solutions to reform people’s daily activities, particularly commuting and working behaviors, on the demand-side is an alternative solution. As a promising solution, Mobility as a Service (MaaS) introduces ICT to persuade people to use public modes of transport. However, modal shift is a partial solution to mitigate traffic congestion. With technological advancements in communication, people become more flexible in their activities in terms of place and time aspects. MaaS should not only induce a transport mode shift but also a workplace shift and working time shift by extending the planning service in daily activity-travel level, exploiting people’s flexibilities for an activity’s place and time to manage travel demand. This paper proposes the QOL-MaaS as the extended MaaS to support space–time shift of activity-travel and reveals its potential impacts on traffic congestion, quality of life, and CO2 emission.

BackgroundThe explosive growth of social media has rendered them powerful communication channels. User generated content is an important source of inspiration and influence among web friends, it generates new activities and consequently affects mobility decisions. Whether to visit a place, or how to get to a place of interest are decisions that can be triggered through people’s interactions on social media.ObjectiveThe main objective of this paper is to investigate the influence of social media use on activity planning and travel arrangements for women and men.MethodsAn online survey was conducted to examine the social media use and the impact of the shared content for women and men, on the phase before any activity in an urban environment. Inferential statistics were applied to detect gender differences in a sample size comprised of 804 respondents.ResultThe significant results showed that the variables gender and social media use for activity planning and travel arrangements are associated with each other. Results have also indicated that the influence of reviews and ratings, photos/ videos and proposed transport mode on activity planning is gender dependent. Photos/ videos influence more often both women (m=3.47) and men (m=3.00) than reviews and ratings (m=3.21 for women and 2.94 for men). Both these contents influence more than proposed transport mode (m=2.62 and 2.37 for women and men).ConclusionThe analysis of the results indicated that before an activity, both women and men tend to use majorly social media for activity planning and travel arrangements, while photos/videos influence women’s decisions more often than men.Travel arrangements of the majority of respondents would be influenced by a post of a designated account related to transport. Finally, social media use affects travel arrangements of both women and men more before performing an activity rather than during.

The proliferation of rich social data sources in the big data era offers a valuable opportunity for studying the planning of art events. In this study, we harvested data on art activity planning from social media via microblogging API calls, converting and analyzing this data through a novel methodological framework. Specifically, we employed the Sentiment-Enhanced Deep Graph Convolutional Network (SEDGCN) model to extract and identify sentiment features associated with art activity planning from social media datasets. Sentiments were categorized using the softmax function. Subsequently, our analysis integrated these findings into the art activity planning process. By conducting a correlation analysis between positive and negative sentiments on social media and various elements of art activity planning, we found a significant correlation (p < 0.005) with all six examined elements of art planning. Furthermore, an effectiveness analysis conducted post-implementation of the planned art events revealed predominantly positive emotional responses among attendees. Notably, 325 art professionals reported a sense of healing as a result of their participation. The methodology proposed in this paper for analyzing social media data effectively captures audience emotions, thereby assisting planners in crafting art events that resonate with and fulfill the emotional needs of the audience.

Over the last few decades, digital and parametric modelling of buildings and cities on a large scale has demonstrated a growing trend. Moreover, these applications have underscored the need for a higher level of organization in managing built Cultural Heritage, which traditionally relies on well-structured methods and multidisciplinary skills. In light of this, the paper presents the results of a systematic review of the CityGML standard for designing architectural and built Cultural Heritage for recovery and maintenance. Specifically, the review focuses on CityGML-based models and their multi-dimensional extensibility (from the buildings to the territorial scale), considering different scales (based on geographical and spatial dimensions of built Cultural Heritage), fields of application (maintenance, conservation, risk assessment), ontological rules (whether new or pre-existing), and the integration of Decision Support Systems (e.g., automation of processes in assessing architectures and their systems, as well as the required interventions). Thanks to the use of the PRISMA-S checklist, the review involves a first sample of 196 scientific works, selecting 57 for the detailed analysis. The process has highlighted the extensive use of digital CityGML-based models for all scales of the built Cultural Heritage. However, the main objectives are cataloguing and systematizing technical knowledge at the building scale to solve the requirement of standardized information. Due to that, the use of ontologies integrated with standards supports the aim by varying thematic qualities and details of the contents, coherently with the fields of application. This extensibility is also reflected in the application of external rules providing structured logic for Cultural Heritage management and automatic or semi-automatic support for policymakers’ decisions in collaborative and multi-disciplinary digital environments. In this framework, experiences are finally discussed in terms of opportunities to use CityGML-based models to support traditional methods for the built Cultural Heritage into digital tools and platforms, exploring possible scenarios of future application fields.

Modular shipbuilding, as a cutting-edge ship construction paradigm, enables parallel manufacturing across workshops and stages—a core advantage that significantly shortens the total shipbuilding cycle, making it pivotal for modern shipyards to enhance productivity. However, this mode decomposes the integrated shipbuilding project into a large number of interdependent sub-activities spanning three key stages (fabrication, logistics, and assembly). Further, the duration of these sub-activities is inherently uncertain, primarily due to the extensive manual operations, variable on-site conditions, and supply chain fluctuations inherent in shipbuilding. These characteristics collectively pose a formidable challenge to project planning that pursues both high efficiency and low cost. To address this challenge, this paper proposes a Strategy-Group Evolution algorithm. First, the modular shipbuilding process scheduling problem is mathematically formulated as a resource-constrained three-stage multi-objective optimization model, where triangular fuzzy numbers are employed to characterize the uncertain sub-activity durations. Second, a two-layered Strategy-Group Evolution algorithm is designed for solving this model: the inner layer comprises 12 practical priority rules tailored to modular shipbuilding’s multi-stage features, while the outer layer adopts a genetic algorithm-based evolution policy to schedule and optimize the assignment of inner-layer rules to activity groups. The core of the Strategy-Group Evolution algorithm lies in dynamically assigning suitable strategies to different activity groups and evolving these assignments toward optimality—this avoids the limitation of a single priority rule for all stages, thereby facilitating the search for global optimal solutions. Finally, validation tests on real cruise ship construction projects and benchmark datasets demonstrate the efficacy and superiority of the proposed Strategy-Group Evolution algorithm.

3D geovisualization is essential in urban planning as it assists the analysis of geospatial data and decision making in the design and development of land use and built environment. However, we noted that 3D geospatial models are commonly visualized arbitrarily as current 3D viewers often lack of design instructions to assist end users. This is especially the case for the occlusion management in most 3D environments where the high density and diversity of 3D data to be displayed require efficient visualization techniques for extracting all the geoinformation. In this paper, we propose a theoretical and operational solution to manage occlusion by automatically computing best viewpoints. Based on user’s parameters, a viewpoint management algorithm initially calculates optimal camera settings for visualizing a set of 3D objects of interest through parallel projections. Precomputed points of view are then integrated into a flythrough creation algorithm for producing an automatic navigation within the 3D geospatial model. The algorithm’s usability is illustrated within the scope of a fictive exploratory phase for the public transport services access in the European quarter of Brussels. Eventually, the proposed algorithms may also assist additional urban planning phases in achieving their purposes.

The Routledge Handbook of Designing Public Spaces for Young People is a thorough and practical resource for all who wish to influence policy and design decisions in order to increase young people's access to and use of public spaces, as well as their role in design and decision-making processes. The ability of youth to freely enjoy public spaces, and to develop a sense of belonging and attachment to these environments, is critical for their physical, social, cognitive, and emotional development. Young people represent a vital citizen group with legitimate rights to occupy and shape their public environments, yet they are often driven out of public places by adult users, restrictive bylaws, or hostile designs. It is also important that children and youth have the opportunity to genuinely participate in the planning of public spaces, and to have their needs considered in the design of the public realm. This book provides both evidence and tools to help effectively advocate for more youth-inclusive public environments, as well as integrate youth directly into both research and design processes related to the public realm. It is essential reading for researchers, design and planning professionals, community leaders, and youth advocates.

PurposeAccording to the theory of push and pull factors, the current work aims to present two objectives: (1) to detect what attributes drive senior tourists to travel to the Azores islands, the role played by lecturing activities (LA) as push factors and their influence on the island's offer (pull factors) are analysed; and (2) to understand the personal and contextual barriers of tourists to provide information to the agents who form part of the tourism supply process on the island.Design/methodology/approachThe data has been processed using the statistical package SmartPLS version 26. Using an exploratory methodology based on structural equation modeling (SEM) structural equations applied to small sample sizes, a tentative model has been generated to define the drivers of tourism for elderly people who visit the islands.FindingsThe research study reveals that LA are the key factor in completing the offering of tourist destinations in the Azores. Educational packages should be made available to senior tourists. Likewise, several tourism barriers, such as flight times, cost of the trip, concern about the safety of destinations, type of accommodation, language difficulties and medical and health care should also be revised by tourism authorities and flight stakeholders with regard to the Azores Islands.Research limitations/implicationsThe reduced sample has made the results impossible to show greater predictive power.Practical implicationsThe role played by push factors, such as lecturing or educational activities, and pull factors, such as the tourism offering by the island, allows us to envisage educational packages based on the preferences of senior tourists, such as attending lectures on the history of the Azores, gastronomy (traditional food), active ageing flora, and interesting facts and legends of the islands.Social implicationsAs a push factor, social interaction has become the main motivation among senior tourists. Such tourists have conveyed not only their desire to meet other tourists but also their interest in socialising in tourist activities, relaxing and visiting other new places.Originality/valueEven though LA are relatively common among university students and those with bachelor's degrees, educational packages for senior tourism are now gaining in popularity. Better socio-economic conditions worldwide and easier access to education for mature people have allowed them to expand their knowledge by travelling to exotic destinations such as the Azores. This paper links that interest with barriers to travel as well as to the Azores' rich touristic offering.

The underlying assumption of the study is that ERP systems can crucially facilitate information exchange; yet, the agricultural sector is slow in their adoption due to different reasons, including a shortage of skilled personnel as well as a lack of knowledge about ERP capabilities among top managers and key employees. The study intends to identify challenges and prospects for ERP implementation in agriculture. The applied methods include the analysis of WoS publications and questionnaire surveys of executives of 55 companies operating in the Middle Urals’ agricultural sector. ERP systems can be defined as comprehensive software solutions aimed to integrate business and management processes through a holistic approach and a single information system. According to expert estimates, in today’s Russia the projects related to the agro-industrial sector account for 1-2% to 10-15% of the projects from the leading ERP vendors, including 1C, Bars Group, and Navigator-Agro. ERP systems in agriculture help improve business performance, reduce and monitor costs. These systems are effective in decision-making and can serve as the basis for precision agriculture. The main barriers are poor personnel skills and competencies, shortage of funds for ERP adoption, poorly developed or absent infrastructure, difficulties of fitting and adapting of ERP systems to agricultural business. In addition, agricultural business owners show no confidence in high-tech solutions and poor knowledge of the above systems. Other problems include operation complexity and insufficient government support in ERP implementation. The results of the study can be used by government authorities in their programs for innovative development and technical upgrading of the agriculture industry.